Evidence map›Paper›PMID 42381266›Full record

ReviewMedical science monitor : international medical journal of experimental and clinical research2026

Advances in Remote Monitoring Technology Applications in Anesthesia: A Narrative Review.

Lixin Chen, Songhe Cheng, Libing Zhang, Huan Li, Zehua Tu, Xiaodong Cai

Abstract readReview
In one paragraph

Review in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lixin ChenXiaolan Clinical Institute of Shantou University Medical College; Department of Anesthesiology, Xiaolan People's Hospital of ZhongShan (The Fifth People's Hospital of ZhongShan), Zhongshan, Guangdong, China.
Songhe ChengXiaolan Clinical Institute of Shantou University Medical College; Department of Anesthesiology, Xiaolan People's Hospital of ZhongShan (The Fifth People's Hospital of ZhongShan), Zhongshan, Guangdong, China.
Libing ZhangXiaolan Clinical Institute of Shantou University Medical College; Department of Anesthesiology, Xiaolan People's Hospital of ZhongShan (The Fifth People's Hospital of ZhongShan), Zhongshan, Guangdong, China.
Huan LiXiaolan Clinical Institute of Shantou University Medical College; Department of Anesthesiology, Xiaolan People's Hospital of ZhongShan (The Fifth People's Hospital of ZhongShan), Zhongshan, Guangdong, China.
Zehua TuXiaolan Clinical Institute of Shantou University Medical College; Department of Anesthesiology, Xiaolan People's Hospital of ZhongShan (The Fifth People's Hospital of ZhongShan), Zhongshan, Guangdong, China.
Xiaodong CaiXiaolan Clinical Institute of Shantou University Medical College; Department of Anesthesiology, Xiaolan People's Hospital of ZhongShan (The Fifth People's Hospital of ZhongShan), Zhongshan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The swift progress of digital and sensor technologies is hastening the incorporation of remote monitoring into anesthesiology. While several reviews have explored telemedicine and artificial intelligence in anesthesia, most existing summaries either focus on conceptual outlook or lack systematic comparison of technical platforms and original clinical validation data. The present review provides a comprehensive, clinically oriented synthesis of remote monitoring in anesthesia, with clear focuses on technical principles, perioperative applications, platform comparisons, and evidence-based clinical outcomes. We critically assess clinical advantages and implementation hurdles, covering the full perioperative pathway - preoperative evaluation, intraoperative observation, and postoperative recovery. A head-to-head comparison of fifth generation of cellular network technology (5G), the Internet of Things (IoT), and cloud computing platforms is presented to clarify their infrastructure demands and suitability for real-world clinical scenarios. Notably, this review summarizes available clinical evidence, including evidence from the Trial of Remote Continuous versus Intermittent National Early Warning Score Monitoring after major surgery (TRaCINg) - a feasibility randomized controlled trial whose exploratory findings suggest that continuous remote monitoring may reduce unplanned intensive care unit admissions, shorten hospital stays, and facilitate earlier detection of postoperative complications. We further propose innovative solutions including multimodal data fusion and federated learning-driven predictive analytics to overcome current limitations in data interoperability, security, and clinical effectiveness. Accordingly, this paper synthesizes the latest advances in remote monitoring technology in anesthesia, clarifies its unique value relative to existing reviews, and provides practical guidance for clinical translation and future research.

Indexed as

AnesthesiaAnesthesiologyDigital HealthHumansInternet of ThingsMonitoring, PhysiologicRemote Patient MonitoringTelemedicine

Identifiers

PMID42381266
PMCPMC13334998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.